Computational models of intracytoplasmic sperm injection prognosis

نویسندگان

  • Hui Liu
  • Ash Kshirsagar
  • Jessica Ku
  • Dolores Lamb
  • Craig Niederberger
چکیده

Intracytoplasmic sperm injection (ICSI), a procedure in which a single sperm is microinjected into an ovum, presents a difficult modeling problem highly sensitive to both underand overfitting. We modeled an ICSI data set of 528 outcomes with a variety of clinical and laboratory variates using linear and non-linear (neural computational) logistic regression methods and with linear and radial basis function support vector machines. Interestingly, depending on the threshold chosen to determine a positive outcome, investigated neural computational methods yielded similar or lower ROC AUCs than logistic regression in the test set, whereas support vector machines yielded similar or higher ROC AUCs than those of logistic regression and the investigated neural computational models.

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تاریخ انتشار 2005